Pixtral 12B vs Llama 3.3 70B
Side-by-side comparison of pricing and capabilities
Input Price Comparison
| Attribute | Pixtral 12B | Llama 3.3 70B |
|---|---|---|
| Provider | Mistral AI | Meta |
| Input Price | $0.15 /1M tokens | $0.23 /1M tokens |
| Output Price | $0.15 /1M tokens | $0.4 /1M tokens |
| Cached Input | $0.015 /1M tokens | $0.023 /1M tokens |
| Context Window | 131K | 128K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | Pixtral 12B | Llama 3.3 70B |
|---|---|---|
| vision | ||
| coding |
Which should you choose?
Budget-conscious: Pixtral 12B is 35% cheaper on input tokens ($0.15 vs $0.23 per 1M tokens).
Context-heavy tasks: Pixtral 12B offers a larger context window (131K vs 128K), making it better for long documents or conversations.
Capability fit: Pixtral 12B supports 2 capabilities (vision, coding), while Llama 3.3 70B supports 1 (coding).
Frequently Asked Questions
Which is cheaper: Pixtral 12B or Llama 3.3 70B?
Pixtral 12B costs $0.15/1M input vs Llama 3.3 70B at $0.23/1M input. Pixtral 12B is 35% cheaper on input tokens.
How do output prices compare between Pixtral 12B and Llama 3.3 70B?
Pixtral 12B output: $0.15/1M, Llama 3.3 70B output: $0.4/1M. Pixtral 12B is more economical for generation-heavy workloads.
What is Pixtral 12B best used for?
Pixtral 12B is best for budget-conscious applications, high-volume chatbots, and tasks where cost efficiency is the primary concern.
What is Llama 3.3 70B best used for?
Llama 3.3 70B is suited for complex reasoning, analysis, and tasks that benefit from its coding capabilities.